cognee-mcp-server
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@cognee-mcp-serverBuild a knowledge graph from 'Einstein won the Nobel Prize in 1921' and search for 'Nobel'."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
cognee-mcp-server
An MCP server for cognee, an AI memory engine.
Tools
Cognify_and_search: Builds knowledge graph from the input text and performs search in it.Inputs:
text(String): Context for knowledge graph contstructionsearch_query(String): Query for retrievalgraph_model_file(String, optional): Filename of a custom pydantic graph model implementationgraph_model_name(String, optional): Class name of a custom pydantic graph model implementation
Output:
Retrieved edges of the knowledge graph
Related MCP server: Graphiti-Memory MCP Server
Configuration
Usage with Claude Desktop
Install uv with homebrew.
Add this to your claude_desktop_config.json:
"mcpcognee": {
"command": "uv",
"args": [
"--directory",
"/path/to/your/cognee-mcp-server",
"run",
"mcpcognee"
],
"env": {
"ENV": "local",
"TOKENIZERS_PARALLELISM": "false",
"LLM_API_KEY": “your llm api key”,
"GRAPH_DATABASE_PROVIDER": “networkx”,
"VECTOR_DB_PROVIDER": "lancedb",
"DB_PROVIDER": "sqlite",
"DB_NAME": “cognee_db”
}
}This server cannot be deployed
Maintenance
Related MCP Connectors
Company brain for AI agents — temporal knowledge graph search, exploration, and durable memory.
- MindlifyOAuthco.mindlify
Turn AI conversations into visual knowledge maps. Create, connect, search, and organize thoughts.
Shared long-term memory for AI agents: save and recall context as a searchable knowledge graph.
- ContextaOAuthcc.contexta
Persistent memory and knowledge graph for AI assistants — keyword + vector + graph search.
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